Stabilized Nested Rollout Policy Adaptation
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Abstract (arXiv)
Nested Rollout Policy Adaptation (NRPA) is a Monte Carlo search algorithm for single player games. In this paper we propose to modify NRPA in order to improve the stability of the algorithm. Experiments show it improves the algorithm for different application domains: SameGame, Traveling Salesman with Time Windows and Expression Discovery.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 0 of its 28 references that are in the map. First posted on arXiv 10 Jan 2021.
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Citing papers per year: 2024: 1; 2025: 2.
3 papers.
- 2024Generalized Nested Rollout Policy Adaptation with Limited Repetitionscited by 3
- 2025Eterna is Solvedcited by 0
- 2025Pareto-NRPA: A Novel Monte-Carlo Search Algorithm for Multi-Objective Optimizationcited by 0
- 2025Pareto-NRPA: A Novel Monte-Carlo Search Algorithm for Multi-Objective Optimization25 Jul 2025
- 2025Eterna is Solved4 May 2025
- 2024Generalized Nested Rollout Policy Adaptation with Limited Repetitions18 Jan 2024